Developing a mobile learning solution for health and social care practice

Taylor, Jill; Dearnley, Christine; Laxton, Julie; Coates, C; Treasure-Jones, Tamsin; Campbell, Robert; Hall, Ian

doi:10.1080/01587919.2010.503343

Cited by 38 publications

(17 citation statements)

References 19 publications

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“…There are few studies that investigate specifically the medical education area [36,37]. This paper is conducted within this area and the participants of the survey were undergraduate students and medical professionals.…”

Section: Discussionmentioning

confidence: 98%

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education

Briz-Ponce

García-Peñalvo

2015

J Med Syst

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The evolution and the growth of mobile applications ("apps") in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students' and professionals' point of view about introducing "apps" within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and "apps" within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46.7% of behavioral intention to use mobile devise or "apps" for learning and will help us to justify and understand the current situation of introducing "apps" into the Medical School curriculum.

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Section: Discussionmentioning

confidence: 98%

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education

Briz-Ponce

García-Peñalvo

2015

J Med Syst

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“…On the other hand, students encountering technical difficulties tend to stop using mobile devices (Taylor et al, 2010). According to Tees (2010) the main barrier to eBook acceptance is difficulty reading from the screen.…”

Section: Literature Reviewmentioning

confidence: 99%

A Library and the Disciplines: A Collaborative Project Assessing the Impact of eBooks and Mobile Devices on Student Learning

Glackin

Rodenhiser

Herzog

2014

The Journal of Academic Librarianship

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With the proliferation of technology usage, it is essential to understand the effect of implementation of technology in the academic setting. Specifically, this article examines the impact of eBooks and mobile devices on student learning. A pilot study was conducted with three areas of interest. The first question of interest found that owning or having access to two or more mobile devices significantly increased respondents' frequency of accessing eBooks. The second question examined the pros and cons of using mobile devices. Accessibility and cost savings were found as pros; while functionality and pedagogy were reported as drawbacks to mobile device usage. Furthermore, usability responses varied. The third question examined the effect of mobile device use on student learning. Findings show that eBooks and mobile device use in the classroom have a significant impact on the student's educational experience.

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“…In the study of Gilavand and Shooriabi (2016), it was found that smartphones could be used for educational purposes; however, in various dental faculty curricula, m-learning has not yet been utilised. It is suggested that each educational system could use mobile technologies with appropriate suitable methods, activities and educational materials (Gilavand & Shooriabi, 2016;Taylor et al, 2010). Specifically, m-learning apps need to be specifically designed for smartphones, as other mobile device types such as tablets may have several disadvantages based on technological aspects and their usability (Chase et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Peer Review #2 of "Mobile learning in dentistry: usage habits, attitudes and perceptions of undergraduate students (v0.1)"

Sehgal¹

2019

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The aim of this study was to evaluate usage habits, attitudes and perceptions towards mobile learning (m-learning), as well as to identify variables related to those attitudes amongst undergraduate dental students. Materials and Methods. The study consists of 81 dental undergraduate students who who volunteered to participate. The data collection tool consists of an m-learning attitude scale, a questionnaire, and open-ended questions. To compare the total scores and factors of m-learning attitude scale for demographic information and mobile technology usage habits of the students; Mann-Whitney U test was used for two independent groups such as gender, presence of electronic devices, and places of Internet usage. Kruskal-Wallis test was also used to compare the total scores and factors of m-learning attitude scale for more than two independent groups including internet usage purposes and opinions. Spearman's correlation coefficient was performed, and linear regression analysis was used to predict the change in total score according to the purposes of Internet usage. Results. The majority of students thought that the use of mobile devices in dentistry courses was useful and their attitudes towards m-learning were high. The students generally use the Internet for online shopping, connecting to social networks, and communication. They tend to use mobile technologies for personal use, followed by educational purposes. There were significant differences found in the mlearning attitudes for gender, having a portable power supply and use of mobile devices in dentistry courses. Communication was found significant in predicting the change in total score for the m-learning attitude scale according to the purpose of Internet usage. Conclusion. Dental students have generally positive attitudes towards m-learning. Students raise awareness towards the promise of m-learning in order to apply their individual technology use and learning behaviours. Designing learning materials and applications for mobile devices may increase students' performances.

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Developing a mobile learning solution for health and social care practice

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Cited by 38 publications

References 19 publications

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education

A Library and the Disciplines: A Collaborative Project Assessing the Impact of eBooks and Mobile Devices on Student Learning

Peer Review #2 of "Mobile learning in dentistry: usage habits, attitudes and perceptions of undergraduate students (v0.1)"

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